Presentation is loading. Please wait.

Presentation is loading. Please wait.

Developing NPP algorithms for the Arctic

Similar presentations


Presentation on theme: "Developing NPP algorithms for the Arctic"— Presentation transcript:

1 Developing NPP algorithms for the Arctic

2 1. Empirical chlorophyll based algorithm
Chukchi Sea

3 ANCOVA H0 – means between light levels are equal
Source Sum-of-Squares df Mean-Square F-ratio P LIGHT_CH 170.6 5 34.1 15.1 0.000 DAILY_PP_CH 3052.7 1 1354.8 Error 1428.6 634 2.3 P < 0.00 , H0 is rejected 1% 5% 15% 30% 50% 100% 1.000 0.000 0.912 0.921 0.780 0.999 0.931 1.0000 0.99 1% 5% 15% 30% 50% 100% 1.000 0.000 0.912 0.921 0.780 0.999 0.931 1.0000 0.99

4 1. Empirical chlorophyll based algorithm
Chukchi Sea

5 1. Empirical chlorophyll based algorithm
Resolute Bay

6 ANCOVA H0 – means between light levels are equal
Source Sum-of-Squares df Mean-Square F-ratio P LIGHT_CH 1027.1 5 205.4 11.7 0.000 DAILY_PP_CH 8696.4 1 495.6 Error 2913.1 166 17.5 P < 0.00 , H0 is rejected 1% 5% 15% 30% 50% 100% 1.000 0.000 0.581 0.322 0.998 0.205 0.988 0.999 0.502 1.0000 0.995

7 1. Empirical chlorophyll based algorithm
Resolute Bay

8 1. Empirical chlorophyll based algorithm
Barents Sea

9 1. Empirical chlorophyll based algorithm
Combined dataset

10 ANCOVA H0 – means between regions are equal
Source Sum-of-Squares df Mean-Square F-ratio P LIGHT_CH 2.28 2 1.14 18.55 0.000 DAILY_PP_CH 136.48 1 Error 33.93 552 0.061 P < 0.00 , H0 is rejected Resolute Bay Chukchi Sea Barents Sea 1.000 0.000 0.361

11 1. Empirical chlorophyll based algorithm
Combined dataset Average Chlorophyll Resolute Bay 8.1 mg m-3 Barents Sea 4.2 mg m-3 Chukchi Sea 1.2 mg m-3 Log PP = Log Chl ANCOVA Chl 0.8 – 32 mg m-3 P < 0.01

12 1.1 Surface chlorophyll vs. Euphotic zone chlorophyll

13 1.1 Surface chlorophyll vs. Euphotic zone PP

14 1.1 Rrs vs. Euphotic zone PP

15 2. Model based on C:Chl ratios
Behrenfeld et al. (2005) developed a productivity model based on Chl:C ratios and chlorophyll concentrations derived from ocean color satellite observations. Carbon (POC) is retrieved from backscatter Chlorophyll is retrieved from Rrs ratios (i.e OC4V4, OC3M or OC3Arc) These are coupled with mixed layer light levels from surface PAR and K490 observations and growth rates estimated from the literature. The final equation is: NPP = C . µ . Zeu . h(Io) Where C is carbon, µ is growth rate, Zeu is the euphotic depth and h(Io) describes how changes in surface light influence the depth dependent profile of carbon fixation

16 2. Model based on C:Chl ratios

17 2. Model based on C:Chl ratios
Model Input Carbon (POC) is retrieved from backscatter – Behrenfeld global relationship Chlorophyll is retrieved from Rrs ratios - OC3Arc Surface PAR – estimated from observations Mixed layer light levels – estimated from observations Growth rate – literature global, 0.5 – 2 divisions d-1 h(Io) taken from Behrenfeld and Falkowski (1997) NPP = C . µ . Zeu . h(Io) Model output 1. NPP euphotic zone integrated - g C m-2 day-1

18 2.1 Results

19 2.1 Results – adjusted model

20 Euphotic zone integrated
1st optical depth Data Slope r2 P Chukchi Spring 0.36 0.61 < 0.01 0.82 0.81 Chukchi Summer 0.18 0.00 > 0.10 1.28 0.60

21 2.2 Sensitivity to model input

22 2.2 Sensitivity to model input
Mixed layer light levels Surface PAR Growth rates r2 Slope RMS slope Mean 0.75 0.36 0.76 0.49 - 1 stdev 0.22 0.69 0.29 0.33 + 1 stdev 0.57 0.88 0.64 0.65

23 3.0 Comparison of both methods

24 Surface Chlorophyll - Spring

25 Surface Chlorophyll - Summer

26 Surface chlorophyll - Fall

27 Surface chlorophyll – Winter

28 Surface PP - Spring

29 Surface PP - Summer

30 Surface PP - Fall

31 Surface PP - Winter

32 Kd PAR – Spring + Summer


Download ppt "Developing NPP algorithms for the Arctic"

Similar presentations


Ads by Google